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Project comparison
Open Multi Agent vs Deer Flow
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Open Multi Agent
TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, DeepSeek, or local models).
Best matched with other agent tools.
6.8K
Stars
+718
Weekly
87/100
Health
Deer Flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Best matched with other agent tools.
77.6K
Stars
+10.7K
Weekly
90/100
Health
Quick Take
Adoption
Deer Flow has the larger GitHub footprint with 77.6K stars.
Momentum
Deer Flow is currently growing faster at +10.7K stars this week.
Maintenance
Deer Flow has the stronger automated maintenance signal at 90/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Open Multi Agent | Deer Flow |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:17 UTC | Basic listing· 2026-10-04 09:18 UTC |
| GitHub stars | 6.8K | 77.6K |
| Weekly growth | +718 | +10.7K |
| Health score | Strong87/100 | Strong90/100 |
| Contributors | 54 | 324 |
| Commits per week | 21.2 | 60.8 |
| Open issues | 13 | 973 |
| Language | TypeScript | Python |
| License | MIT | MIT |
| Last commit | 2026-08-22 13:22 UTC | 2026-07-22 13:31 UTC |
| Last release | v1.16.1 | v2.0.0 |
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